Yumin Zhou

Fusing Deep Learning and Fuzzy Logic: A Framework for Adaptive and Scalable Interpretability

Deep learning models offer state-of-the-art performance but their inherent opacity is a major barrier to adoption in high-stakes domains. In contrast, Takagi-Sugeno-Kang (TSK) fuzzy systems provide rule-based transparency but often lack the predictive power of deep networks. My PhD research addresse